2 基于天空区域分割的去雾算法 - 中国图象图形学报.doc

中图法分类号：TP301.6 文献标识码：A 文章编号：1006-8961(2016) - - 论文引用格式： 雾天交通场景中单幅图像去雾 邢晓敏1 ， 刘威2 1.武汉交通职业学院电子与信息工程学院, 武汉 430065； 2.武汉理工大学计算机科学与技术学院, 武汉 430070 摘 要：目的：针对雾天交通场景中通常含有大片天空区域，传统去雾方法在复原这些图像时容易产生光晕、色彩失真等现象。本文提出了一种基于天空区域分割和暗通道先验理论的图像去雾方法。方法：首先提出一种基于最大类间方差法（OTSU）的图像分割算法来自动分离天空区域，然后将天空区域的平均强度值作为大气光值，从而改进场景传输率的估计。结果：本文方法不仅有效地解决了图像去雾后出现光晕和色彩失真等问题，与He Kaiming以及Fattal的方法相比，本文方法去雾后的图像更加真实、自然、平滑。结论：实验结果表明，本文方法能够很好地完成对雾天交通图像的复原，可为道路交通监管提供一种有效的理论基础和技术支撑。 关键词 ： 雾天交通场景 ; 暗原色先验; 图像去雾; 图像分割; 图像复原; 雾天退化模型 Haze removal for single traffic image Xing Xiaomin1, Liu Wei2 1. Wuhan Technical College of Communication, School of Electronics and Information Engineering, Wuhan, 430065; 2. Wuhan University of Technology, School of computer Science and Technology, Wuhan, 430070 Abstract: Objective: Several tiny particulates are suspended in air during poor weather condition (e.g., haze or fog). The color and contrast of the captured picture from image devices are severely degraded because of scattering, thereby consequently affecting visual experience. Haze is a common phenomenon in China’s cities and towns, especially in the metropolis. Haze reduces visibility and seriously affects the closed circuit television surveillance system, thereby leading to difficulties in traffic monitoring and increase in traffic accidents. Using traditional methods to remove the haze in traffic image usually results in various problems, such as halo and color distortion. To remove the large sky area in traffic image, this paper proposes a haze-removal method based on sky segmentation and dark channel prior. Method: We use the maximum of the top 0.1 percent brightest pixels in the dark channel (as selected by He) corresponding to the original image as the value to the atmospheric extinction coefficient A. Accordingly, the value of A in each channel can be made closer to the maximum pixel value of 255. Resulting image after haze removal can generate color cast or a large number of color spots. According to